Motorized CPM/CAM physiotherapy device with sliding-mode Fuzzy Neural Network control loop

Authors:
Hung-Jung Ho;Tien-Chi Chen
Affiliations:
Department of Engineering Science, National Cheng Kung University, No. 1, University Road, Tainan, Taiwan;Department of Engineering Science, National Cheng Kung University, No. 1, University Road, Tainan, Taiwan
Venue:
Computer Methods and Programs in Biomedicine
Year:
2009

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Abstract

Continuous passive motion (CPM) and controllable active motion (CAM) physiotherapy devices promote rehabilitation of damaged joints. This paper presents a computerized CPM/CAM system that obviates the need for mechanical resistance devices such as springs. The system is controlled by a computer which performs sliding-mode Fuzzy Neural Network (FNN) calculations online. CAM-type resistance force is generated by the active performance of an electric motor which is controlled so as to oppose the motion of the patient's leg. A force sensor under the patient's foot on the device pedal provides data for feedback in a sliding-mode FNN control loop built around the motor. Via an active impedance control feedback system, the controller drives the motor to behave similarly to a damped spring by generating and controlling the amplitude and direction of the pedal force in relation to the patient's leg. Experiments demonstrate the high sensitivity and speed of the device. The PC-based feedback nature of the control loop means that sophisticated auto-adaptable CPM/CAM custom-designed physiotherapy becomes possible. The computer base also allows extensive data recording, data analysis and network-connected remote patient monitoring.